Automated Unsupervised Machine Learning Utilizing Meta-Learning

2. The computer-implemented method of claim 1, wherein the pipelines of the plurality of unsupervised machine learning pipelines are configured to identify outliers in data sets.

3. The computer-implemented method of claim 2, further comprising utilizing the identified one or more pipelines for processing the input data set to identify outliers in the input data set.

4. The computer-implemented method of claim 1, further comprising generating the meta-features corresponding to the respective pipeline/data set combinations utilizing a rank correlation method.

7. The computer-implemented method of claim 6, wherein associating the performance with the meta-features corresponding to the respective pipeline/data set combinations includes, for the coordinate of the vector, associating a label that identifies a particular pipeline for processing the particular data set, the particular pipeline selected based, at least in part, on the assessed performance.

9. The computer-implemented method of claim 5, further comprising identifying the sub-set of the set of vectors based, at least in part, on: (i) a filtering method, and (ii) a desired number of results.

10. The computer-implemented method of claim 1, wherein the assessed performance includes a receiver operating characteristics (ROC) curve.

11. The computer-implemented method of claim 1, wherein the pipelines of the plurality of unsupervised machine learning pipelines respectively include multiple stages of machine learning processing culminating in a machine learning estimation stage.

14. The computer program product of claim 13, wherein the program instructions further comprise instructions to generate the meta-features corresponding to the respective pipeline/data set combinations utilizing a rank correlation method.

18. The computer system of claim 17, wherein the method further comprises generating the meta-features corresponding to the respective pipeline/data set combinations utilizing a rank correlation method.